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Memory Budgeting

skill-mrcalderon3d-everything-game-dev-code-memory-budgeting · by MRCalderon3D

Define residency and memory budgets so content, streaming, and runtime systems fit target platforms.

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Install

$ agentstack add skill-mrcalderon3d-everything-game-dev-code-memory-budgeting

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Memory Budgeting

Purpose

Define residency and memory budgets so content, streaming, and runtime systems fit target platforms.

Use When

  • the project has constrained hardware targets
  • memory spikes cause instability
  • large content sets are growing

Inputs

  • target platforms
  • asset classes
  • streaming model
  • system residency assumptions

Process

  1. budget memory by asset and system class
  2. define who owns loading and unloading decisions
  3. measure peak and steady-state memory in representative flows
  4. flag accidental hard references or pinned content
  5. connect fixes to content and architecture owners

Outputs

  • memory budget sheet
  • residency rules
  • peak-memory review notes
  • ownership map

Quality Bar

  • makes ownership, state flow, and failure behavior explicit
  • improves maintainability without over-abstracting
  • supports testing, debugging, and safe iteration

Common Failure Modes

  • coupling systems through hidden globals or timing assumptions
  • writing logic that is hard to test or debug
  • optimizing the wrong layer before measuring

Related Agents

  • performance-reviewer
  • technical-artist
  • build-engineer

Related Commands

  • memory-budget
  • verify
  • release-check

Notes

  • Keep this skill aligned with the relevant rules layer and current project documentation.
  • If engine-specific constraints materially change the workflow, hand off to the matching engine skill or engine-specific reviewer.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.